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3. Model selection and evaluation — scikit-lear...
Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and model selection, Permutation test score....scikit-learn.org/stable/model_selection.html -
Non-negative least squares — scikit-learn 1.7.1...
In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
cluster_optics_xi — scikit-learn 1.7.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version cluster_optics_xi # sklearn.cluster. cluster_optics_x...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
ledoit_wolf_shrinkage — scikit-learn 1.7.1 docu...
Skip to main content Back to top Ctrl + K GitHub Choose version ledoit_wolf_shrinkage # sklearn.covariance. ledoit_wo...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
d2_tweedie_score — scikit-learn 1.7.1 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_tweedie_score # sklearn.metrics. d2_tweedie_score ...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
cluster_optics_dbscan — scikit-learn 1.7.1 docu...
Gallery examples: Demo of OPTICS clustering algorithmscikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
calinski_harabasz_score — scikit-learn 1.7.1 do...
Skip to main content Back to top Ctrl + K GitHub Choose version calinski_harabasz_score # sklearn.metrics. calinski_h...scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html -
Simple 1D Kernel Density Estimation — scikit-le...
This example uses the KernelDensity class to demonstrate the principles of Kernel Density Estimation in one dimension. The first plot shows one of the problems with using histograms to visualize th...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
L1 Penalty and Sparsity in Logistic Regression ...
Comparison of the sparsity (percentage of zero coefficients) of solutions when L1, L2 and Elastic-Net penalty are used for different values of C. We can see that large values of C give more freedom...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
sklearn.linear_model — scikit-learn 1.7.1 docum...
A variety of linear models. User guide. See the Linear Models section for further details. The following subsections are only rough guidelines: the same estimator can fall into multiple categories,...scikit-learn.org/stable/api/sklearn.linear_model.html